For future work, we aim to implement semi-supervised learning as suggested in [1]} and [2]} to establish view-invariant pose-lifting for freely moving rodents.
Moreover, we need to evaluate the model under different scenarios, such es occlusions by objects or other animals.
Finally, we hope that this work paves the way to robust 3d pose estimation in complex laboratory environments, allowing for behavior quantification based on 3D pose data for a variety of experimental designs.
